디지털융복합연구 (Journal of Digital Convergence)

  • 제17권10호
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  • Pages.349-357
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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한국 성인의 비만이 인슐린, 공복혈당 및 당화혈색소에 미치는 영향

Obesity as associated factors for Insulin, Fasting blood sugar, and Hemoglobin A1c in Korean adults

  • 투고 : 2019.08.19
  • 심사 : 2019.10.20
  • 발행 : 2019.10.28
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초록

본 연구의 목적은 체질량지수가 인슐린, 혈당 및 당화혈색소에 미치는 영향을 확인하는 것이다. 연구방법은 국민건강영양조사 2015년 자료를 분석하여, 서술적 통계, t-test, ANOVA, Pearson correlation coefficient과 단계적 다중회귀분석을 적용하였다(SPSS WIN 25.0). 주요결과는, 체질량지수는 인슐린(r=0.397, p<0.001), 공복혈당(r=0.241, p<0.001) 및 당화혈색소(r=0.237, p<0.001)와 양의 상관관계를 나타내었다. 인슐린에 영향요인은 과체중(${\beta}=.130$, t=8.193, p<0.001),비만(${\beta}=.390$, t=24.390, p<0.001), 연령이며 설명력은13.1% (F=53.584, p<0.001)였다. 공복혈당에 영향요인은 과체중(${\beta}=.072$, t=4.478, p<0.001), 비만(${\beta}=.186$, t=11.485, p<0.001), 연령이며 설명력은 10.6%(F=42.351, p<0.001)였다. 당화혈색소에 영향요인은 과체중(${\beta}=.059$, t=3.712, p<0.001), 비만(${\beta}=.190$, t=11.895, p<0.001), 연령, 성별이며 설명력은 14.1% (F=58.134, p<0.001)였다. 본 연구결과를 바탕으로 당뇨병 예방 및 관리프로그램에 비만관련 중재가 포함되어야 한다.

The purpose of this study was to investigate the effects of body mass index(BMI) on insulin. fasting blood sugar(FBS), and hemoglobin A1c(HbA1c). This study analyzed the data of 2015, The Sixth KNHANES, and it was included to 4554 subject over 20 years old. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression analysis(SPSS 25.0). The major findings, BMI was positively correlated with insulin(r=0.397, p<0.001), FBS(r=0.241, p<0.001), and HbA1c(r=0.237, p<0.001). Factors affecting insulin are overweight(${\beta}=.130$, t=8.193, p<0.001), obesity(${\beta}=.390$, t=24.390, p<0.001) and age. the explanatory power is 13.1% (F=53.584, p<0.001). Factors affecting FBS were overweight(${\beta}=.072$, t=4.478, p<0.001), obesity(${\beta}=.186$, t= 11.485, p<0.001), age, the explanatory power was 10.6% (F=42.351, p<0.001). Factors affecting HbA1c were overweight(${\beta}=.059$, t=3.712, p<0.001), obesity(${\beta}=.190$, t=11.895, p<0.001) age and sex, the explanatory power is 14.1% (F=58.134, p<0.001). Based on this study result, diabetes mellitus prevention and management programs should include interventions related to obesity.

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